Senior Product Manager – Data, Quality

🕒 March 7

🏢🏡 San Francisco – Hybrid

💵 $230k - $260k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

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Logo of Snorkel AI

Snorkel AI

WebsiteLinkedIn

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

💸 Finance

⚕️ Healthcare Insurance

Artificial Intelligence • Finance • Healthcare Insurance

Snorkel AI is an innovative platform that specializes in providing expert-level training and evaluation data tailored for machine learning models. Their service, known as Expert Data-as-a-Service, enables organizations to create high-quality datasets for AI applications, significantly accelerating model delivery and enhancing accuracy. Founded from research at Stanford, Snorkel partners with leading AI companies to push the boundaries of AI capabilities across various sectors, including finance and healthcare.

📋 Description

• Own the product vision, strategy, and roadmap for the task and Expert Contributor Evaluations product supporting internal and external platform users. • Identify bottlenecks and lead cross-team efforts to improve overall quality and customer acceptance rate. • Lead Evaluation products and tools across research, engineering, operations, and forward deployed engineers to drive excellence in product quality. • Define, build, and set up continuous monitoring for performance metrics of Evaluations to improve their adaption, usage, and effectiveness. • Own the strategy and execution of Expert Contributor Quality • Build a recommendation system for optimal matching of ECs to tasks on the Snorkel Platform • Work with cross-functional stakeholders to support enablement and adaptation initiatives of the Evaluations and Quality products • Balance short-term delivery with long-term platform investments to support future growth.

🎯 Requirements

• 5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas. • Educational background in computer science or related engineering practice • Strong technical literacy across ML models, Gen AI concepts, LLM-based products, Agentic designs, evaluation, labeling strategies, and quality frameworks. • Proven ability to drive deeply technical roadmaps end-to-end, from concept to launch. • Ability to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes. • Experience building internal or platform-level products with complex workflows and multi-stakeholder environments. • Proven ability to own end-to-end product experiences across multiple user personas. • Strong analytical and problem-solving skills, with a track record of metrics-driven decision making. • Excellent collaboration skills and experience partnering closely with Engineering, Research, and Operations teams.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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